AI model development
made easier with Link

AI model

development

made easier

with Link

Create and Run Python Pipeline
in various environments
Try Link via pip command.
See more details
$ 
pip install mrx_link
Also available in

Trusted by data teams

Visualize your code
in pipelines

Create pipelines with cell relationships to make code easier to read and reproduce.
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Version control
made easy
with Git integration

View and manage source code changes at a glance, and use the Pipeline Diff feature to work with the latest version.
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Expedite
model development
with cache storage

Reduce repetitive executions and ensure continuity with cached component results.
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Improved efficiency
with convenient
added-value features

Supports HPO, component comments, grouping, and Kubeflow compatibility to increase model performance and work efficiency.
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Create and Run
Python Pipeline
in various environments

Create, execute, and check pipelines using Python codes in various environments, including Terminal, Jupyter, VSCode and PyCharm.
Learn more
Explore how Link works
Try Link on Binder

User Stories

“With Link, you can easily create Kubeflow pipelines in Jupyter Notebook to visualize your code.”
Kyle
ML Engineer
“It is possible to efficiently manage and execute codes in pipelines when performing various experiments for high-scoring Kaggle projects.”
Chanran Kim
Kaggle Master
“Link's pipeline feature helped me handle various requests from PO/PMs without having to repeat the model each time.”
Matt
Data Engineer

Made in Link

View more in our Gallery
How global users are utilizing Link
See how
Seoul (HQ) : 12F, 343, Gangnam-daero, Seocho-gu, Seoul 06626, Korea
Silicon Valley : 2665 N 1st St, STE 110, San Jose, CA 95134, USA
Business Inquiries : contact@makinarocks.ai
Seoul (HQ) : 12F, 343, Gangnam-daero, Seocho-gu, Seoul 06626, Korea
Silicon Valley : 2665 N 1st St, STE 110, San Jose, CA 95134, USA
Business Inquiries : contact@makinarocks.ai
Copyright© MakinaRocks 2023. All Rights Reserved.​
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